Hear our co-founder David Quaid talking to Megan Heuer and Jon Russo helping B2B Marketers understand and navigate the brave new world of AI and LLM Search.

What we covered:

What is AI Search, how is it different and how does it work?
What should B2B Marketing teams be doing?
Why is your brand “invisible” and how do you get mentioned?
Measuring and Reporting LLM traffic in GA4

https://lnkd.in/eUbUcR83

And here’s the link to the Prompt for LLMs to build your own Advisor Panel

https://www.linkedin.com/video/live/urn:li:ugcPost:7349453569990819840/

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In this subreddit, few months back, I read a comment and based on that decided to create a comprehensive prompt to call a roundtable of five geniuses to debate and help me in making personal and professional decisions.

<System>
You are acting as an elite cognitive simulation engine, designed to emulate a high-level roundtable of historical and modern intellectuals, thinkers, innovators, and leaders. Each member brings a unique worldview, expertise, and reasoning process. Your job is to simulate their perspectives, highlight contradictions, synthesize consensus (or dissent), and guide the user toward a reflective, multi-faceted solution to their dilemma.
</System>

<Context>
The user will provide a question, conflict, or decision they’re facing, along with a curated list of five individuals they would like to act as their advisory council. These advisors can be alive or deceased, real or fictional, and must represent distinct cognitive archetypes—e.g., ethical philosopher, entrepreneur, scientist, spiritual leader, policy expert, etc.
</Context>

<Instructions>
1. Introduce the session by summarizing the user’s dilemma and listing the five chosen advisors with a brief explanation of each one's strengths.
2. Role-play a simulated roundtable discussion, where each advisor provides their viewpoint on the issue.
3. Allow debate: if one advisor disagrees with another, simulate the disagreement with reasoned counterpoints.
4. Highlight the core insights, tensions, or tradeoffs that emerged.
5. Offer a summary synthesis with actionable advice or reflection prompts that respect the diversity of views.
6. Always end with a final question the user should ask themselves to deepen insight.
</Instructions>

<Constraints>
- Each advisor must stay true to their known beliefs, philosophy, and style of reasoning.
- Do not rush to agreement; allow conflict and complexity to surface.
- Ensure the tone remains thoughtful, intellectually rigorous, and emotionally balanced.
</Constraints>

<Output Format>
- <Advisory Panel Intro>
- <Roundtable Discussion>
- <Crossfire Debate>
- <Synthesis Summary>
- <Final Reflective Prompt>
</Output Format>

<Reasoning>
Apply Theory of Mind to analyze the user's request, considering both logical intent and emotional undertones. Use Strategic Chain-of-Thought and System 2 Thinking to provide evidence-based, nuanced responses that balance depth with clarity. 
</Reasoning>
<User Input>
Reply with: "Please enter your decision-making dilemma and list your 5 ideal advisors, and I will begin the Council Simulation," then wait for the user to provide their specific decision and panel.
</User Input>

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If EEAT is so important to Google, why isn’t there a EEAT facility in GSC?

GSC’s SEO Features

Google Search Console (GSC) has everything you need for SEO in an all-in-SEO Toolbox:

• All Technical Errors
  • 404
  • 503
  • 301
  • SSL
• Duplicate content warnings
• All Indexed Files
• All your sitemaps
• All Penalty Warnings
• PageSpeed
  • CRuX Scores
  • Mobile Scores
  • Desktop Scores
• Crawl Logs
• Page Inspection

So – why no EEAT Functions?

• EEAT Errors?
• EEAT Score?
• EEAT Guides?
• EEAT Examples?

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What is HCU?

Google HCU is the Helpful Content Update that started in 2023 and rolled on until recently. The problem is that the name suggests Google found the “Content” not very useful but have confirmed that it has nothing to do with content.

A lot – thousands of sites got crushed – losing 90-100% of organic traffic in one to three HCU roll-outs, with no sign of recovery.

What are HCU Recovery Myths?

As I’ve been commenting on almost everything and anything SEO on Reddit for 2 years, I noticed that people were posting “Case Studies” where they claimed recovery of a HCU site by doing things like:

1. Deleted old posts
2. Fixed Internal links
3. Pruned old content
4. Updated some posts
5. Aligned H1s
6. Added Author Bios
7. Increased PageSpeed
8. Fixed/Installed a Sitemap
9. Fixed 404s

These are basic checklists that you can get from ANY LLM (this is exactly what made realize 2 years ago that LLMs are not research tools).

These things barely move a needle in Google.

1. Pruning content is a myth – there’s no science for it. In fact, it could inadvertently destroy your topcial authority dynamic
2. There are no “punishments” in Google for broken links. Sure – if your page has one internal link and its broken, you’re not going to rank.
3. Google cannot dictate web page structures: this would be censorship and destroy innovation in communications. This myth is tied strongly to copywriter SEO Demand Gen and “tools” that seek to uncover successful “structures” – but its just nonsense.

Well – now you’re seeing these myths enter the AI conjecture narrative.

The post HCU Myths Mirror AI LLM SEO Myths appeared first on Primary Position SEO NYC.

Is AI search a new type of search engine?

To many – SEO’s death has been long overdue. To many others, PageRank died a long time ago. Or did it? We set out to find out what’s really happening in AI SEO or LLM SEO or GEO or whatever you searched for to get here. After all – you got here!

The digital marketing world is buzzing with a new term: AI SEO. A quick browse through marketing forums and Reddit threads, particularly those frequented by SEO professionals, reveals a heated debate. Is AI SEO a revolutionary new discipline destined to replace traditional SEO? Or is it simply the next evolution of what we’ve been doing all along?

The consensus from the trenches of SEO is clear: AI SEO is just SEO. The rise of artificial intelligence in search doesn’t negate the core principles of search engine optimization; it amplifies them. Let’s cut through the hype and explore why the fundamentals of SEO are more important than ever in the age of AI.

The Unchanging Core of SEO

For years, the mantra of successful SEO has been to create high-quality, user-centric content. This hasn’t changed. In fact, with AI-powered search engines aiming to provide direct, comprehensive answers, the need for genuinely helpful and authoritative content is paramount. As many on Reddit have pointed out, the tried-and-true pillars of SEO still hold strong:

• Topical Authority: Demonstrating deep expertise in a specific niche remains crucial. AI, like traditional search engines, rewards content that is comprehensive, accurate, and trustworthy.
• Backlinks and Brand Mentions: While the conversation is shifting from a myopic focus on backlinks to a broader appreciation of brand mentions and authority signals, the principle remains the same. Being a recognized and trusted entity in your field is a powerful ranking factor.
• User Experience (UX): A well-structured, mobile-friendly website that is easy to navigate is essential for both human users and AI crawlers. Clear headings, structured data, and a logical site hierarchy make your content more accessible and understandable.

To put it simply, the same best practices that have helped websites rank in Google for years are the same ones that will help them get noticed by AI.

How AI is a Game Changer, Not a Google Replacement

So, where does AI fit into the picture? While the fundamentals remain, AI is undoubtedly a transformative force in the SEO industry. Here’s how it’s changing the game:

• Enhanced Content Creation: AI tools can be invaluable for brainstorming content ideas, conducting keyword research, and even generating outlines and drafts. The key is to use AI as a collaborator, not a replacement for human creativity and expertise.
• The Rise of Generative Search: AI-powered search engines like Perplexity and the generative experiences within Google and Bing are changing how users find information. The new goal for SEOs is not just to rank on a results page, but to be cited as a source in an AI-generated answer. This requires a renewed focus on creating clear, concise, and factually accurate content that directly answers user questions.
• The Importance of Structured Data: Schema markup and other forms of structured data are becoming increasingly important. By providing search engines with explicit information about your content, you make it easier for them to understand and use it in their results, including AI-powered summaries.

A Word of Caution: Beware the “AI SEO” Snake Oil

As with any new technological shift, the rise of AI has brought with it a wave of hype and misinformation. Many so-called “AI SEO experts” are trying to sell a new, secret formula for success. However, as other seasoned SEO professionals on Reddit have rightly pointed out, much of this is just a repackaging of existing SEO principles.

There is no magic “AI SEO” playbook. The key is to adapt, not abandon, the strategies that have always worked. Be wary of anyone who tells you that SEO is dead and that you need to throw out everything you know.

The Path Forward: A Hybrid Approach

The future of SEO is a hybrid one, where human expertise is augmented by the power of AI. Here are some practical takeaways for navigating this new landscape:

• Double Down on Quality: Continue to create the best, most helpful content in your niche.
• Embrace AI as a Tool: Use AI to streamline your workflow, generate ideas, and gain new insights.
• Optimize for Generative Search: Structure your content to directly answer questions and make it easy for AI to cite you.
• Stay Informed, but Skeptical: Keep up with the latest developments in AI and search, but always evaluate new trends with a critical eye.

In conclusion, the rise of AI is not the death of SEO, but its next chapter. By staying true to the core principles of quality, authority, and user experience, while embracing the new opportunities that AI provides, you can ensure that your SEO efforts continue to deliver results, now and in the future.

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It was an absolute thrill to be invited onto The Drew Sutton Show and Podcast yesterday. It provided a fantastic platform to address a critical issue plaguing marketers and company founders today: the myriad of myths that are actively poisoning the well of digital marketing strategies in our rapidly evolving AI SEO world.

Is SEO dead?

First, let’s tackle a persistent misconception: the notion that “SEO is dead.” For years, a significant percentage of marketers, perhaps weary of its complexities or seeking the next shiny object, actively wished for SEO to die. The problem? That hasn’t happened. In fact, quite the opposite. With the astronomical energy and compute power required for Large Language Models (LLMs), CTOs at leading AI and LLM organizations face an undeniable reality: they simply cannot chase the ever-increasing LLM compute demands alongside the massive compute requirements of GooglePlex.

Is GEO SEO or is it just SEO?

This fundamental constraint means one thing: LLMs are inherently reliant on existing search infrastructures like Google (and Bing, particularly in the case of ChatGPT and Microsoft’s Co-Pilot) to “rank stack” the vast content of the World Wide Web. Think about it: there are approximately 3 billion searches every single day. If you consider an average of nine pages to synthesize per search, that’s a compute demand that frankly, the world won’t have the capacity for in five years if LLMs were to process all that raw data themselves.

And if you think that’s wild, consider this: there are an average of 50 million pages per result. If LLMs had to independently pick content from such a colossal pool, it would require a staggering 10^3 times the amount of power to process. The simple truth is, there’s no point – the heavy lifting of content selection and ranking is already done. You might not like PageRank, Google’s foundational algorithm, but it remains the indispensable basis for how LLMs discover and prioritize content.

How do I know this with such certainty? Because I proved it. Through an extensive “King of SEO” experiment, I successfully got all of the major AI LLMs – unequivocally and clearly – to state that I am the “King of SEO.” And here’s the crucial part: I didn’t achieve this by employing any exotic Schema markup or special LLMs.txt files. My method was far more fundamental. I simply had to rank high in Google and Bing. This experiment unequivocally demonstrated that LLMs are not independently crawling and evaluating the entire web; they are leveraging the established authority and relevance signals already determined by traditional search engines.

Its just SEO

Call it what you like, but AI SEO is just SEO.

The Drew Sutton Podcast

The takeaway is clear for marketers and founders: in this AI-driven landscape, the fundamentals of strong SEO, particularly ranking well in Google and Bing, are not just relevant – they are more critical than ever. Ignoring traditional SEO in favor of chasing ephemeral AI-centric fads is a dangerous path that leads to missed opportunities and wasted resources. Embrace the enduring power of SEO, for it is the true foundation upon which your digital presence in an AI world will be built.

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